Activeloop website screenshot

Activeloop

Activeloop builds Deep Lake, a database for AI that stores multimodal datasets (text, images, video, audio, embeddings) in a deep-learning-optimized format. The primary interface is the open-source Deep Lake Python SDK paired with the Tensor Query Language (TQL); datasets live locally, in your own cloud (S3, Azure, GCP), or in the managed Activeloop Cloud (app.activeloop.ai), which also exposes an alpha Managed Database REST query endpoint.

Activeloop publishes 1 API on the APIs.io network: Managed Database API. Tagged areas include AI, Vector Store, Data Lake, Multimodal, and Deep Learning.

Activeloop’s developer surface includes authentication, documentation, and 8 more developer resources.

38.5/100 thin ▬ flat Agent 31/100 agent aware Full breakdown ↓
scored 2026-07-28 · rubric v0.6
AccessFreemiumSelf serve⚡ Free to try
1 APIs
AIVector StoreData LakeMultimodalDeep LearningPython SDK

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-28 · rubric v0.6
Composite quality — 38.5/100 · thin
Contract Quality 15.1 / 25
Developer Ergonomics 3.9 / 20
Commercial Clarity 7.9 / 20
Operational Transparency 4.8 / 13
Governance 0.0 / 12
Discoverability 6.9 / 10
Agent readiness — 31/100 · agent aware
Machine-Readable Contract 18 / 18
Agentic Access Contract 10 / 10
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/activeloop: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Activeloop Managed Database API

The Managed Database API from Activeloop — 1 operation(s) for managed database.

Open Collections 1

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Activeloop Deep Lake API

OPEN COLLECTION

Pricing Plans 1

Published pricing tiers and plan structures.

Rate Limits 1

Documented rate limits and quota policies.

Activeloop Rate Limits

4 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Activeloop Authentication

http · 1 scheme

SECURITY

Activeloop Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Activeloop Agentic Access

1 operation · 1 acting

1 operations · 1 acting

AGENTIC

Resources

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: activeloop
url: https://raw.githubusercontent.com/api-evangelist/activeloop/refs/heads/main/apis.yml
name: Activeloop
kind: company
description: Activeloop builds Deep Lake, a database for AI that stores multimodal datasets (text, images, video, audio, embeddings)
  in a deep-learning-optimized format. The primary interface is the open-source Deep Lake Python SDK paired with the Tensor
  Query Language (TQL); datasets live locally, in your own cloud (S3, Azure, GCP), or in the managed Activeloop Cloud (app.activeloop.ai),
  which also exposes an alpha Managed Database REST query endpoint.
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  label: Freemium · Self-serve signup
  confidence: high
  source:
  - plans
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/activeloop.png
tags:
- AI
- Vector Store
- Data Lake
- Multimodal
- Deep Learning
- Python SDK
created: '2026-06-20'
modified: '2026-06-20'
specificationVersion: '0.19'
apis:
- aid: activeloop:activeloop-managed-database-api
  name: Activeloop Managed Database API
  description: The Managed Database API from Activeloop — 1 operation(s) for managed database.
  humanURL: https://docs.deeplake.ai/
  baseURL: https://app.activeloop.ai/api/query/v1
  tags:
  - Managed Database
  properties:
  - type: OpenAPI
    url: openapi/activeloop-managed-database-api-openapi.yml
  - type: Documentation
    url: https://docs.deeplake.ai/
  - type: APIReference
    url: https://docs-v3.activeloop.ai/
  - type: GitHub
    url: https://github.com/activeloopai/deeplake
  - type: Documentation
    url: https://docs-v3.activeloop.ai/examples/tql
  - type: Documentation
    url: https://docs-v3.activeloop.ai/examples/rag/tutorials/vector-store-basics
  - type: Documentation
    url: https://docs-v3.activeloop.ai/examples/rag/tutorials/vector-search-options/rest-api
common:
- type: AgenticAccess
  url: agentic-access/activeloop-agentic-access.yml
- type: DomainSecurity
  url: security/activeloop-domain-security.yml
- type: Authentication
  url: authentication/activeloop-authentication.yml
- type: GitHubOrganization
  url: https://github.com/activeloopai
- type: LinkedIn
  url: https://www.linkedin.com/company/activeloop
- type: Website
  url: https://www.activeloop.ai
- type: Documentation
  url: https://docs.deeplake.ai/
- type: Plans
  url: plans/activeloop-plans-pricing.yml
- type: RateLimits
  url: rate-limits/activeloop-rate-limits.yml
- type: FinOps
  url: finops/activeloop-finops.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com